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Related papers: Key bifurcations of bursting polyrhythms in 3-cell…

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In many neural networks, patterns controlling rhythmic behaviors are maintained across a wide range of periods. In the crustacean pyloric central pattern generator (CPG), a constant bursting pattern is preserved over a three-to-fivefold…

Neurons and Cognition · Quantitative Biology 2025-07-15 Gabrielle O'Brien , Adam L. Weaver , William H. Barnett , Dmitry A. Kozhanov , Gennady S. Cymbalyuk

We disclose the generality of the intrinsic mechanisms underlying multistability in reciprocally inhibitory 3-cell circuits composed of simplified, low-dimensional models of oscillatory neurons, as opposed to those of a detailed Hodgkin-…

Adaptation and Self-Organizing Systems · Physics 2020-08-26 J. Collens , K. Pusuluri , A. Kelly , D. Knapper , T. Xing , S. Basodi , D. Alacam , A. L. Shilnikov

The purpose of this paper is trifold -- to serve as an instructive resource and a reference catalog for biologically plausible modeling with i) conductance-based models, coupled with ii) strength-varying slow synapse models, culminating in…

Neurons and Cognition · Quantitative Biology 2022-11-02 James Scully , Jassem Bourahmah , David Bloom , Andrey L Shilnikov

We propose a novel discrete model of central pattern generators (CPG), neuronal ensembles generating rhythmic activity. The model emphasizes the role of nonsynaptic interactions and the diversity of electrical properties in nervous systems.…

Neural and Evolutionary Computing · Computer Science 2017-05-10 Nikolay Bazenkov , Varvara Dyakonova , Oleg Kuznetsov , Dmitri Sakharov , Dmitry Vorontsov , Liudmila Zhilyakova

Small groups of interneurons, abbreviated by CPG for central pattern generators, are arranged into neural networks to generate a variety of core bursting rhythms with specific phase-locked states, on distinct time scales, that govern vital…

Chaotic Dynamics · Physics 2015-06-17 Sajiya Jalil , Dane Allen , Joe Youker , Andrey Shilnikov

A variety of nonlinear models of biological systems generate complex chaotic behaviors that contrast with biological homeostasis, the observation that many biological systems prove remarkably robust in the face of changing external or…

Chaotic Dynamics · Physics 2023-07-07 Jonathan Jaquette , Sonal Kedia , Evelyn Sander , Jonathan D. Touboul

Bio-inspired control of motion is an active field of research with many applications in real world tasks. In the case of robotic systems that need to exhibit oscillatory behaviour (i.e. locomotion of snake-type or legged robots), Central…

Robotics · Computer Science 2015-09-09 Carlos Garcia-Saura

Central Pattern Generators (CPGs) in invertebrates are comprised of networks of neurons in which every neuron has reciprocal connections to other members of the CPG. This is a ``closed'' network topology. An ``open'' topology, where one or…

chao-dyn · Physics 2007-05-23 R. Huerta , P. Varona , M. I. Rabinovich , Henry D. I. Abarbanel

Stick insect stepping patterns have been studied for insights about locomotor rhythm generation and control, because the underlying neural system is relatively accessible experimentally and produces a variety of rhythmic outputs. Harnessing…

Neurons and Cognition · Quantitative Biology 2025-04-17 Zahra Aminzare , Jonathan E. Rubin

All vertebrates are capable of performing various types of physical activity. Locomotor patterns are created by the cyclical coordinated work of the skeletal muscles. The organization of such a system in living organisms is responsible for…

Neurons and Cognition · Quantitative Biology 2021-12-15 A. I. Zharinov , Y. A. Tsybina , S. Y. Gordleeva

Various biological phenomena, like cell differentiation and pattern formation in multicellular organisms, are explained using the bifurcation theory. Molecular network motifs like positive feedback and mutual repressor exhibit bifurcation…

Dynamical Systems · Mathematics 2024-11-26 Shikhar Raj , Biplab Bose

Neuromorphic computing systems, where information is transmitted through action potentials in a bio-plausible fashion, is gaining increasing interest due to its promise of low-power event-driven computing. Application of neuromorphic…

Neural and Evolutionary Computing · Computer Science 2025-09-03 Zhuangyu Han , Abhronil Sengupta

The cell cycle is a tightly controlled process, yet its underlying genetic network shows marked differences across species. Which of the associated structural features follow solely from the ability to impose the appropriate gene expression…

Molecular Networks · Quantitative Biology 2015-06-12 M. Zagorski , A. Krzywicki , O. C. Martin

We study the versatile performance of networks of coupled circuits. Each of these circuits is composed of a positive and a negative feedback loop in a motif that is frequently found in genetic and neural networks. When two of these circuits…

Adaptation and Self-Organizing Systems · Physics 2015-06-22 Darka Labavić , Hildegard Meyer-Ortmanns

Computational models of the respiratory central pattern generator (rCPG) are usually based on biologically-plausible Hodgkin Huxley neuron models. Such models require numerous parameters and thus are prone to overfitting. The HH approach is…

Neurons and Cognition · Quantitative Biology 2018-11-29 Pavel Tolmachev , Rishi R. Dhingra , Michael Pauley , Mathias Dutschmann , Jonathan H. Manton

Multistability, the coexistence of multiple attractors in a dynamical system, is explored in bursting nerve cells. A modeling study is performed to show that a large class of bursting systems, as defined by a shared topology when…

Neurons and Cognition · Quantitative Biology 2010-06-29 J. P. Newman , R. J. Butera

We construct a model of cell reprogramming (the conversion of fully differentiated cells to a state of pluripotency, known as induced pluripotent stem cells, or iPSCs) which builds on key elements of cell biology viz. cell cycles and cell…

Cell Behavior · Quantitative Biology 2017-09-25 R Hannam , A Annibale , R Kuehn

This study is focused on the mechanisms of rhythmogenesis and robustness of anti-phase bursting in half-center-oscillators (HCOs) consisting of two reciprocally inhibitory coupled neurons. There is a growing body of experimental evidence…

Chaotic Dynamics · Physics 2014-12-08 Roman Nagornov , Grigory Osipov , Maxim Komarov , Arkady Pikovsky , Andrey Shilnikov

This paper introduces a new wheel-legged robot and develops motion controllers based on central pattern generators (CPGs) for the robot to navigate over a range of terrains. A transformable leg-wheel design is considered and characterized…

Robotics · Computer Science 2024-07-08 Tyler Bishop , Keran Ye , Konstantinos Karydis

Central Pattern Generators (CPGs) models have been long used to investigate both the neural mechanisms that underlie animal locomotion as well as a tool for robotic research. In this work we propose a spiking CPG neural network and its…

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